ANEURYSM@RISK: Automatic Intracranial Aneurysm Quantification and Feature Learning Modelling to Optimize Intracranial Aneurysm Rupture Prediction

ANEURYSM@RISK is an observational study aiming to develop and validate an artificial intelligence (AI)-based prediction model for the growth and rupture of intracranial aneurysms (IAs). By applying automated 3D segmentation and morphological quantification of IAs from MR angiography (MRA) scans, the model is intended to provide clinicians with objective and reproducible risk estimates of aneurysm instability. The study utilizes retrospective imaging data from multiple European centers, including UMC Utrecht, AP-HP Paris, and University Medical Center Hamburg-Eppendorf (UKE). A clinical vignette study will evaluate the model's clinical utility and user experience among interventional radiologists. This study is exempt from medical ethics review (non-WMO in the Netherlands), as it involves only existing, anonymized data and imposes no additional burden on patients.

NCT Number	NCT07111975
Lead Sponsor	UMC Utrecht Collaborators: Bichat Hospital, Universitätsklinikum Hamburg-Eppendorf, Philips Medical Systems
Conditions	Intracranial Aneurysms, Unruptured Intracranial Aneurysm, Subarachnoid Hemorrhage (SAH) From Ruptured Aneurysm
Enrollment	3,800 participants
Start Date	2025-01-01
Primary Completion	2028-06 (estimated)
Study Completion	2028-12 (estimated)
Updated on ClinicalTrials.gov	2025-08-08